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Cardiometabolic Index: a novel prognostic biomarker for recurrent stroke risk in acute ischemic stroke patients

Yue Wang1,2,3, Yingying Ding4, Min Han1

  • 1Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong Province, China.

Insights

The Cardiometabolic Index (CMI) effectively predicts adverse cerebrovascular events in acute ischemic stroke (AIS) patients post-thrombolysis, outperforming traditional biomarkers. CMI offers improved risk stratification for better patient outcomes.

Area of Science:

  • Cardiology
  • Neurology
  • Biomarker Research

Background:

  • Stroke is a leading global health issue, with recurrent strokes posing significant risks for acute ischemic stroke (AIS) patients.
  • Predicting major adverse cerebrovascular events (MACEs) after thrombolysis is crucial for improving patient prognosis and reducing healthcare burdens.

Purpose of the Study:

  • To evaluate the Cardiometabolic Index (CMI) as a predictor of long-term adverse cerebrovascular events in AIS patients undergoing thrombolysis.
  • To compare the predictive efficacy of CMI against traditional biomarkers for MACEs.

Main Methods:

  • Retrospective analysis of 588 AIS patients who received thrombolytic therapy.
  • Multivariate analysis to determine the independent correlation between CMI and MACE risk.
  • Investigation into the mediating role of systemic inflammation in the CMI-outcome association.

Main Results:

  • CMI showed superior predictive performance for long-term adverse cerebrovascular events compared to conventional biomarkers.
  • A high CMI (≥0.80) was independently associated with an increased risk of MACEs.
  • Systemic inflammation partially mediated the predictive impact of CMI on adverse outcomes.

Conclusions:

  • CMI is a promising prognostic biomarker for predicting adverse cerebrovascular events in AIS patients post-thrombolysis.
  • CMI's ability to reflect metabolic and inflammatory status enhances risk stratification and personalized treatment.
  • Further large-scale studies are needed to confirm CMI's clinical utility and refine AIS therapeutic strategies.
Abstract

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